From Consensus to Standardization: Evaluating Deep Learning for Nerve Block Segmentation in Ultrasound Imaging.

Journal: A&A practice
Published Date: Aug 22, 2025

Abstract

BACKGROUND: Deep learning can automate nerve identification by learning from expert-labeled examples to detect and highlight nerves in ultrasound images. This study aims to evaluate the performance of deep-learning models in identifying nerves for ultrasound-guided nerve blocks.

Authors

  • Eric D Pelletier
    From the Department of Experimental Surgery, McGill University Health Center, Montreal, Quebec, Canada.
  • Sean D Jeffries
  • Noam Suissa
  • Isabel Sarty
    Department of Psychiatry, Integrated Program in Neuroscience (IPN), McGill University, Montreal, Quebec, Canada.
  • Naomi Malka
    From the Department of Experimental Surgery, McGill University Health Center, Montreal, Quebec, Canada.
  • Kevin Song
  • Avinash Sinha
    Department of Anesthesia, McGill University, Montreal, Quebec, Canada.
  • Thomas M Hemmerling

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